Pandas Profiling Report

Dataset statistics

Number of variables	11
Number of observations	2930
Missing cells	211
Missing cells (%)	0.7%
Duplicate rows	4
Duplicate rows (%)	0.1%
Total size in memory	251.9 KiB
Average record size in memory	88.0 B

Variable types

Numeric	9
Categorical	2

Warnings

Dataset has 4 (0.1%) duplicate rows	Duplicates
`Year Built` is highly correlated with `SalePrice`	High correlation
`Full Bath` is highly correlated with `Gr Liv Area` and 1 other fields	High correlation
`Gr Liv Area` is highly correlated with `Full Bath` and 1 other fields	High correlation
`SalePrice` is highly correlated with `Year Built` and 2 other fields	High correlation
`Year Built` is highly correlated with `Full Bath` and 1 other fields	High correlation
`Full Bath` is highly correlated with `Year Built` and 2 other fields	High correlation
`Gr Liv Area` is highly correlated with `Full Bath` and 1 other fields	High correlation
`SalePrice` is highly correlated with `Year Built` and 2 other fields	High correlation
`Full Bath` is highly correlated with `Gr Liv Area` and 1 other fields	High correlation
`Gr Liv Area` is highly correlated with `Full Bath` and 1 other fields	High correlation
`SalePrice` is highly correlated with `Full Bath` and 1 other fields	High correlation
`Full Bath` is highly correlated with `SalePrice` and 2 other fields	High correlation
`MS Zoning` is highly correlated with `Neighborhood`	High correlation
`Neighborhood` is highly correlated with `MS Zoning` and 2 other fields	High correlation
`SalePrice` is highly correlated with `Full Bath` and 2 other fields	High correlation
`Year Built` is highly correlated with `Full Bath` and 5 other fields	High correlation
`Overall Cond` is highly correlated with `Year Built`	High correlation
`MS SubClass` is highly correlated with `Neighborhood` and 2 other fields	High correlation
`House Style` is highly correlated with `Year Built` and 1 other fields	High correlation
`Gr Liv Area` is highly correlated with `Full Bath` and 1 other fields	High correlation
`House Style` has 211 (7.2%) missing values	Missing
`House Style` has 314 (10.7%) zeros	Zeros

Reproduction

Analysis started	2021-09-25 21:53:15.384659
Analysis finished	2021-09-25 21:53:37.025930
Duration	21.64 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

MS SubClass
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	16
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	57.38737201

Minimum	20
Maximum	190
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	23.0 KiB

Quantile statistics

Minimum	20
5-th percentile	20
Q1	20
median	50
Q3	70
95-th percentile	160
Maximum	190
Range	170
Interquartile range (IQR)	50

Descriptive statistics

Standard deviation	42.63802455
Coefficient of variation (CV)	0.7429861842
Kurtosis	1.386774989
Mean	57.38737201
Median Absolute Deviation (MAD)	30
Skewness	1.357579441
Sum	168145
Variance	1818.001138
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
20	1079	36.8%
60	575	19.6%
50	287	9.8%
120	192	6.6%
30	139	4.7%
160	129	4.4%
70	128	4.4%
80	118	4.0%
90	109	3.7%
190	61	2.1%
Other values (6)	113	3.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
20	1079	36.8%
30	139	4.7%
40	6	0.2%
45	18	0.6%
50	287	9.8%
60	575	19.6%
70	128	4.4%
75	23	0.8%
80	118	4.0%
85	48	1.6%

Value	Count	Frequency (%)
190	61	2.1%
180	17	0.6%
160	129	4.4%
150	1	< 0.1%
120	192	6.6%
90	109	3.7%
85	48	1.6%
80	118	4.0%
75	23	0.8%
70	128	4.4%

MS Zoning
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	7
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	136.1617747

Minimum	9
Maximum	142
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	23.0 KiB

Quantile statistics

Minimum	9
5-th percentile	58
Q1	141
median	141
Q3	141
95-th percentile	142
Maximum	142
Range	133
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	20.42541177
Coefficient of variation (CV)	0.1500084132
Kurtosis	13.81585022
Mean	136.1617747
Median Absolute Deviation (MAD)	0
Skewness	-3.922467537
Sum	398954
Variance	417.1974458
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
141	2273	77.6%
142	462	15.8%
58	139	4.7%
140	27	0.9%
33	25	0.9%
86	2	0.1%
9	2	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
9	2	0.1%
33	25	0.9%
58	139	4.7%
86	2	0.1%
140	27	0.9%
141	2273	77.6%
142	462	15.8%

Value	Count	Frequency (%)
142	462	15.8%
141	2273	77.6%
140	27	0.9%
86	2	0.1%
58	139	4.7%
33	25	0.9%
9	2	0.1%

Year Built
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	118
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1971.356314

Minimum	1872
Maximum	2010
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	23.0 KiB

Quantile statistics

Minimum	1872
5-th percentile	1915
Q1	1954
median	1973
Q3	2001
95-th percentile	2007
Maximum	2010
Range	138
Interquartile range (IQR)	47

Descriptive statistics

Standard deviation	30.24536063
Coefficient of variation (CV)	0.01534241193
Kurtosis	-0.5017150401
Mean	1971.356314
Median Absolute Deviation (MAD)	25
Skewness	-0.6044622214
Sum	5776074
Variance	914.7818396
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2005	142	4.8%
2006	138	4.7%
2007	109	3.7%
2004	99	3.4%
2003	88	3.0%
1977	57	1.9%
1920	57	1.9%
1976	54	1.8%
1999	52	1.8%
2008	49	1.7%
Other values (108)	2085	71.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1872	1	< 0.1%
1875	1	< 0.1%
1879	1	< 0.1%
1880	5	0.2%
1882	1	< 0.1%
1885	2	0.1%
1890	7	0.2%
1892	2	0.1%
1893	1	< 0.1%
1895	3	0.1%

Value	Count	Frequency (%)
2010	3	0.1%
2009	25	0.9%
2008	49	1.7%
2007	109	3.7%
2006	138	4.7%
2005	142	4.8%
2004	99	3.4%
2003	88	3.0%
2002	47	1.6%
2001	35	1.2%

Lot Area
Real number (ℝ_≥0)

Distinct	1960
Distinct (%)	66.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10147.92184

Minimum	1300
Maximum	215245
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	23.0 KiB

Quantile statistics

Minimum	1300
5-th percentile	3188.3
Q1	7440.25
median	9436.5
Q3	11555.25
95-th percentile	17131
Maximum	215245
Range	213945
Interquartile range (IQR)	4115

Descriptive statistics

Standard deviation	7880.017759
Coefficient of variation (CV)	0.7765154168
Kurtosis	265.0236706
Mean	10147.92184
Median Absolute Deviation (MAD)	2040
Skewness	12.82089817
Sum	29733411
Variance	62094679.89
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9600	44	1.5%
7200	43	1.5%
6000	34	1.2%
9000	29	1.0%
10800	25	0.9%
7500	21	0.7%
8400	21	0.7%
1680	18	0.6%
6240	18	0.6%
6120	17	0.6%
Other values (1950)	2660	90.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1300	1	< 0.1%
1470	1	< 0.1%
1476	1	< 0.1%
1477	2	0.1%
1484	1	< 0.1%
1488	1	< 0.1%
1491	1	< 0.1%
1495	1	< 0.1%
1504	1	< 0.1%
1526	2	0.1%

Value	Count	Frequency (%)
215245	1	< 0.1%
164660	1	< 0.1%
159000	1	< 0.1%
115149	1	< 0.1%
70761	1	< 0.1%
63887	1	< 0.1%
57200	1	< 0.1%
56600	1	< 0.1%
53504	1	< 0.1%
53227	1	< 0.1%

Neighborhood
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	28
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	102.7133106

Minimum	22
Maximum	173
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	23.0 KiB

Quantile statistics

Minimum	22
5-th percentile	30
Q1	53
median	113
Q3	125
95-th percentile	161.1
Maximum	173
Range	151
Interquartile range (IQR)	72

Descriptive statistics

Standard deviation	43.09099038
Coefficient of variation (CV)	0.4195268377
Kurtosis	-1.104310069
Mean	102.7133106
Median Absolute Deviation (MAD)	36
Skewness	-0.2794473136
Sum	300950
Variance	1856.833452
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
113	443	15.1%
42	267	9.1%
125	239	8.2%
53	194	6.6%
160	182	6.2%
124	166	5.7%
77	165	5.6%
155	151	5.2%
115	131	4.5%
156	125	4.3%
Other values (18)	867	29.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
22	28	1.0%
23	10	0.3%
25	30	1.0%
30	108	3.7%
39	44	1.5%
42	267	9.1%
49	103	3.5%
53	194	6.6%
77	165	5.6%
79	8	0.3%

Value	Count	Frequency (%)
173	24	0.8%
167	72	2.5%
162	51	1.7%
160	182	6.2%
156	125	4.3%
155	151	5.2%
153	48	1.6%
125	239	8.2%
124	166	5.7%
118	71	2.4%

House Style
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	6
Distinct (%)	0.2%
Missing	211
Missing (%)	7.2%
Infinite	0
Infinite (%)	0.0%
Mean	3.623390953

Minimum	0
Maximum	6
Zeros	314
Zeros (%)	10.7%
Negative	0
Negative (%)	0.0%
Memory size	23.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	3
Q3	6
95-th percentile	6
Maximum	6
Range	6
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.899455049
Coefficient of variation (CV)	0.5242202881
Kurtosis	-0.6469645692
Mean	3.623390953
Median Absolute Deviation (MAD)	0
Skewness	-0.2072354553
Sum	9852
Variance	3.607929483
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	1481	50.5%
6	873	29.8%
0	314	10.7%
5	24	0.8%
1	19	0.6%
4	8	0.3%
(Missing)	211	7.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	314	10.7%
1	19	0.6%
3	1481	50.5%
4	8	0.3%
5	24	0.8%
6	873	29.8%

Value	Count	Frequency (%)
6	873	29.8%
5	24	0.8%
4	8	0.3%
3	1481	50.5%
1	19	0.6%
0	314	10.7%

Overall Cond
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	9
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.563139932

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	23.0 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	5
median	5
Q3	6
95-th percentile	8
Maximum	9
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.11153656
Coefficient of variation (CV)	0.1998038111
Kurtosis	1.491449722
Mean	5.563139932
Median Absolute Deviation (MAD)	0
Skewness	0.574429477
Sum	16300
Variance	1.235513524
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
5	1654	56.5%
6	533	18.2%
7	390	13.3%
8	144	4.9%
4	101	3.4%
3	50	1.7%
9	41	1.4%
2	10	0.3%
1	7	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	7	0.2%
2	10	0.3%
3	50	1.7%
4	101	3.4%
5	1654	56.5%
6	533	18.2%
7	390	13.3%
8	144	4.9%
9	41	1.4%

Value	Count	Frequency (%)
9	41	1.4%
8	144	4.9%
7	390	13.3%
6	533	18.2%
5	1654	56.5%
4	101	3.4%
3	50	1.7%
2	10	0.3%
1	7	0.2%

Full Bath
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	23.0 KiB

2	1532
1	1318
3	64
0	12
4	4

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2930
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	1532	52.3%
1	1318	45.0%
3	64	2.2%
0	12	0.4%
4	4	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	1532	52.3%
1	1318	45.0%
3	64	2.2%
0	12	0.4%
4	4	0.1%

Most occurring characters

Value	Count	Frequency (%)
2	1532	52.3%
1	1318	45.0%
3	64	2.2%
0	12	0.4%
4	4	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2930	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	1532	52.3%
1	1318	45.0%
3	64	2.2%
0	12	0.4%
4	4	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	2930	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	1532	52.3%
1	1318	45.0%
3	64	2.2%
0	12	0.4%
4	4	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2930	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	1532	52.3%
1	1318	45.0%
3	64	2.2%
0	12	0.4%
4	4	0.1%

Gr Liv Area
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1292
Distinct (%)	44.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1499.690444

Minimum	334
Maximum	5642
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	23.0 KiB

Quantile statistics

Minimum	334
5-th percentile	861
Q1	1126
median	1442
Q3	1742.75
95-th percentile	2463.1
Maximum	5642
Range	5308
Interquartile range (IQR)	616.75

Descriptive statistics

Standard deviation	505.5088875
Coefficient of variation (CV)	0.3370754875
Kurtosis	4.137838193
Mean	1499.690444
Median Absolute Deviation (MAD)	311
Skewness	1.274109716
Sum	4394093
Variance	255539.2353
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
864	41	1.4%
1092	26	0.9%
1040	25	0.9%
1456	20	0.7%
1200	18	0.6%
894	15	0.5%
912	14	0.5%
816	14	0.5%
848	13	0.4%
1728	13	0.4%
Other values (1282)	2731	93.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
334	1	< 0.1%
407	1	< 0.1%
438	1	< 0.1%
480	1	< 0.1%
492	1	< 0.1%
498	1	< 0.1%
520	1	< 0.1%
540	1	< 0.1%
572	1	< 0.1%
599	1	< 0.1%

Value	Count	Frequency (%)
5642	1	< 0.1%
5095	1	< 0.1%
4676	1	< 0.1%
4476	1	< 0.1%
4316	1	< 0.1%
3820	1	< 0.1%
3672	1	< 0.1%
3627	1	< 0.1%
3608	1	< 0.1%
3500	1	< 0.1%

Yr Sold
Categorical

Distinct	5
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	23.0 KiB

2007	694
2009	648
2006	625
2008	622
2010	341

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	11720
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2010
2nd row	2010
3rd row	2010
4th row	2010
5th row	2010

Common Values

Value	Count	Frequency (%)
2007	694	23.7%
2009	648	22.1%
2006	625	21.3%
2008	622	21.2%
2010	341	11.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2007	694	23.7%
2009	648	22.1%
2006	625	21.3%
2008	622	21.2%
2010	341	11.6%

Most occurring characters

Value	Count	Frequency (%)
0	5860	50.0%
2	2930	25.0%
7	694	5.9%
9	648	5.5%
6	625	5.3%
8	622	5.3%
1	341	2.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11720	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5860	50.0%
2	2930	25.0%
7	694	5.9%
9	648	5.5%
6	625	5.3%
8	622	5.3%
1	341	2.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	11720	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	5860	50.0%
2	2930	25.0%
7	694	5.9%
9	648	5.5%
6	625	5.3%
8	622	5.3%
1	341	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11720	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5860	50.0%
2	2930	25.0%
7	694	5.9%
9	648	5.5%
6	625	5.3%
8	622	5.3%
1	341	2.9%

SalePrice
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1032
Distinct (%)	35.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	180796.0601

Minimum	12789
Maximum	755000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	23.0 KiB

Quantile statistics

Minimum	12789
5-th percentile	87500
Q1	129500
median	160000
Q3	213500
95-th percentile	335000
Maximum	755000
Range	742211
Interquartile range (IQR)	84000

Descriptive statistics

Standard deviation	79886.69236
Coefficient of variation (CV)	0.4418608034
Kurtosis	5.118899951
Mean	180796.0601
Median Absolute Deviation (MAD)	37000
Skewness	1.743500076
Sum	529732456
Variance	6381883616
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
135000	34	1.2%
140000	33	1.1%
130000	29	1.0%
155000	28	1.0%
145000	26	0.9%
160000	23	0.8%
110000	21	0.7%
185000	21	0.7%
115000	20	0.7%
170000	20	0.7%
Other values (1022)	2675	91.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
12789	1	< 0.1%
13100	1	< 0.1%
34900	1	< 0.1%
35000	1	< 0.1%
35311	1	< 0.1%
37900	1	< 0.1%
39300	1	< 0.1%
40000	1	< 0.1%
44000	1	< 0.1%
45000	1	< 0.1%

Value	Count	Frequency (%)
755000	1	< 0.1%
745000	1	< 0.1%
625000	1	< 0.1%
615000	1	< 0.1%
611657	1	< 0.1%
610000	1	< 0.1%
591587	1	< 0.1%
584500	1	< 0.1%
582933	1	< 0.1%
556581	1	< 0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	MS SubClass	MS Zoning	Year Built	Lot Area	Neighborhood	House Style	Overall Cond	Full Bath	Gr Liv Area	Yr Sold	SalePrice
0	20	141.0	1960	31770	113.0	3.0	5	1	1656	2010	215000
1	20	140.0	1961	11622	113.0	3.0	6	1	896	2010	105000
2	20	141.0	1958	14267	113.0	3.0	6	1	1329	2010	172000
3	20	141.0	1968	11160	113.0	3.0	5	2	2110	2010	244000
4	60	141.0	1997	13830	77.0	6.0	5	2	1629	2010	189900
5	60	141.0	1998	9978	77.0	6.0	6	2	1604	2010	195500
6	120	141.0	2001	4920	162.0	3.0	5	2	1338	2010	213500
7	120	141.0	1992	5005	162.0	3.0	5	2	1280	2010	191500
8	120	141.0	1995	5389	162.0	3.0	5	2	1616	2010	236500
9	60	141.0	1999	7500	77.0	6.0	5	2	1804	2010	189000

Last rows

	MS SubClass	MS Zoning	Year Built	Lot Area	Neighborhood	House Style	Overall Cond	Full Bath	Gr Liv Area	Yr Sold	SalePrice
2920	160	142.0	1970	1894	100.0	6.0	5	1	1092	2006	71000
2921	90	141.0	1976	12640	106.0	3.0	5	2	1728	2006	150900
2922	90	141.0	1976	9297	106.0	3.0	5	2	1728	2006	188000
2923	20	141.0	1977	17400	106.0	3.0	5	2	1126	2006	160000
2924	20	141.0	1960	20000	106.0	3.0	7	1	1224	2006	131000
2925	80	141.0	1984	7937	106.0	NaN	6	1	1003	2006	142500
2926	20	141.0	1983	8885	106.0	3.0	5	1	902	2006	131000
2927	85	141.0	1992	10441	106.0	NaN	5	1	970	2006	132000
2928	20	141.0	1974	10010	106.0	3.0	5	1	1389	2006	170000
2929	60	141.0	1993	9627	106.0	6.0	5	2	2000	2006	188000

Most frequently occurring

	MS SubClass	MS Zoning	Year Built	Lot Area	Neighborhood	House Style	Overall Cond	Full Bath	Gr Liv Area	Yr Sold	SalePrice	# duplicates
0	90	141.0	1979	7018	156.0	3.0	5	2	1535	2009	118858	2
1	90	141.0	1987	10800	53.0	3.0	5	3	1200	2009	179000	2
2	120	141.0	2006	4590	124.0	3.0	5	2	1554	2007	209500	2
3	160	142.0	2004	2522	53.0	6.0	5	2	1709	2006	130000	2

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows

Duplicate rows

Most frequently occurring